"Acer" matching MCP servers:

Enables searching and browsing the Ace Achievers course catalog and question bank with tiered hint reveals.

Enables AI agents to execute server-side JavaScript and perform CRUD operations directly on ServiceNow instances with context bloat reduction features for efficient token usage.

Provides code repository indexing and semantic search capabilities, allowing natural language queries to find relevant code snippets with automatic incremental indexing and multi-language support.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

Implements Agentic Context Engineering to create self-improving AI coding assistants that learn from execution feedback and build persistent knowledge playbooks. Reduces token usage by 86.9% while improving code accuracy by 10.6% through incremental context updates.

Persistent, local-first memory for your AI chats. Save context in one chat, load it in another — across Claude web, Claude Code, Cursor, Cline, and Claude Desktop. One store, on your own disk, reachable from every tool via MCP, CLI, REST, or SDK.

* analyze your react projects locally * consistent output w/ AST parsing + AI * create markdown docs, llm.txt for your react code at once

Interaction profile registry for AI agents. Log interactions to build a behavioral profile, query it through lenses: friction, coverage, stable corridors, failure registry, and trend. 21 tools.

Enables AI clients to perform local code search, indexing, and analysis across Java, JavaScript/TypeScript, .NET/C#, and Python projects through the MCP protocol.